Recognizing Textual Entailment based on Deep Learning Approach
نویسندگان
چکیده
منابع مشابه
A Machine Learning Approach for Recognizing Textual Entailment in Spanish
This paper presents a system that uses machine learning algorithms for the task of recognizing textual entailment in Spanish language. The datasets used include SPARTE Corpus and a translated version to Spanish of RTE3, RTE4 and RTE5 datasets. The features chosen quantify lexical, syntactic and semantic level matching between text and hypothesis sentences. We analyze how the different sizes of ...
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We present our experiments on Recognizing Textual Entailment based on modeling the entailment relation as a classification problem. As features used to classify the entailment pairs we use a symmetric similarity measure and a non-symmetric similarity measure. Our system achieved an accuracy of 66% on the RTE-3 development dataset (with 10-fold cross validation) and accuracy of 63% on the RTE-3 ...
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In this paper we present two original methods for recognizing textual inference.First one is a modified resolution method such that some linguistic considerations are introduced in the unification of two atoms. The approach is possible due to the recent methods of transforming texts in logic formulas. Second one is based on semantic relations in text, as presented in WordNet. Some similarities ...
متن کاملA Semantic Approach to Recognizing Textual Entailment
Exhaustive extraction of semantic information from text is one of the formidable goals of state-of-the-art NLP systems. In this paper, we take a step closer to this objective. We combine the semantic information provided by different resources and extract new semantic knowledge to improve the performance of a recognizing textual entailment system. 1 Recognizing Textual Entailment While communic...
متن کاملRecognizing Textual Entailment by Theorem Proving Approach
We present two original methods for recognizing textual inference. First, is a modified resolution method, used in theorem proving, such that some linguistic considerations are introduced in unification of two atoms. Some recent methods of transforming texts in logic forms are used. Second, is based on semantic relations in text, as presented in WordNet. Both methods provide comparable results.
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2019
ISSN: 0975-8887
DOI: 10.5120/ijca2019918515